A. Efstratiadis, A. Koukouvinos, E. Rozos, A. Tegos, and I. Nalbantis, Theoretical documentation of model for simulating hydrological-hydrogeological processes of river basin "Hydrogeios", Integrated Management of Hydrosystems in Conjunction with an Advanced Information System (ODYSSEUS), Contractor: NAMA, Report 4a, 103 pages, Department of Water Resources, Hydraulic and Maritime Engineering – National Technical University of Athens, Athens, December 2006.
The subject of the report is the development of the software system HYDROGEIOS, which represents the hydrological and hydrogeological processes as well as the water resource management practices of a river basin. After a short review of the most recognized hydrological models and a general overview of the problem, we describe the theoretical background of the approach, comprising the combined operation of three models: (a) a conceptual soil moisture accounting model, with different parameters for each hydrological response unit, which estimates the transformation of precipitation to evapotranspiration, surface runoff and percolation; (b) a multicell groundwater model, which estimates the spatial distribution of the water table, the baseflow (spring runoff) and the underground losses; and (c) a water resources allocation model, which for given hydrological inflows along the river network, given characteristics of technical facilities (aqueducts, wells) and given targets and constraints, estimates the abstractions and the water balance at all hydrosystem control points, selecting the economical optimal management. The spatial analysis assumes a semi-distributed schematisation of the basin and its underlying aquifer, and also a rough description of the technical works, all employed via the use of geographical information systems. The time step of simulation is monthly or daily; in the last case, a routing model is optionally incorporated, based on the well-known Muskingum-Cunge method. Specific emphasis is given to the estimation of model parameters, by using statistical and empirical goodness-of-fit measures and evolutionary algorithms for single- and multi-objective optimisation. Finally, we present an application of the model to the Western Thessaly area.
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